19 citations · 28 across the 16 of their papers we have counts for
11 papers · 1 filter
EyeMVP: OCT-Informed Fundus Representation Learning via Paired CFP--OCT Pretraining
Zhuo Deng, Ruiheng Zhang, Ziheng Zhang +23
Color fundus photography (CFP) is the mainstay of large-scale retinal screening, but its diagnostic capacity is limited by the lack of depth-resolved structure, which optical coher…
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
Tom Maye-Lasserre, Yitong Li, Bailiang Jian +3
Modern 3D medical vision-language models (VLMs) can generate fluent radiology-style text while exhibit critically low pathology detection and output diversity, collapsing to generi…
Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
Yitong Li, Igor Yakushev, Dennis M. Hedderich +1
Positron emission tomography (PET) is a widely recognized technique for diagnosing neurodegenerative diseases, offering critical functional insights. However, its high costs and ra…
Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
Martin Rath, Morteza Ghahremani, Yitong Li +3
Computed tomography (CT) provides rich 3D anatomical detail but is often constrained by high radiation exposure, substantial costs, and limited availability. Standard chest X-rays…
Cortex-Grounded Diffusion Models for Brain Image Generation
Fabian Bongratz, Yitong Li, Sama Elbaroudy +1
Synthetic neuroimaging data can mitigate critical limitations of real-world datasets, including the scarcity of rare phenotypes, domain shifts across scanners, and insufficient lon…
Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics
Yitong Li, Ralph Buchert, Benita Schmitz-Koep +5
Positron emission tomography (PET) with 18F-Fluorodeoxyglucose (FDG) is an established tool in the diagnostic workup of patients with suspected dementing disorders. However, compar…
Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging
Yitong Li, Morteza Ghahremani, Christian Wachinger
Vision-language foundation models achieve promising performance in natural image classification, yet their direct application to medical imaging is limited by severe domain shifts,…
3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from Cortical Surfaces
Fabian Bongratz, Yitong Li, Sama Elbaroudy +1
Despite recent advances in medical image generation, existing methods struggle to produce anatomically plausible 3D structures. In synthetic brain magnetic resonance images (MRIs),…
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
Yitong Li, Morteza Ghahremani, Youssef Wally +1
Diagnosing dementia, particularly for Alzheimer's Disease (AD) and frontotemporal dementia (FTD), is complex due to overlapping symptoms. While magnetic resonance imaging (MRI) and…
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
Jiajun Wang, Morteza Ghahremani, Yitong Li +2
Controllable text-to-image (T2I) diffusion models have shown impressive performance in generating high-quality visual content through the incorporation of various conditions. Curre…
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl +3
Differential diagnosis of dementia is challenging due to overlapping symptoms, with structural magnetic resonance imaging (MRI) being the primary method for diagnosis. Despite the…